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Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques

BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most prevalent form of oral cancer. Very few researches have been carried out for the automatic diagnosis of OSCC using artificial intelligence techniques. Though biopsy is the ultimate test for cancer diagnosis, analyzing a biopsy report is a v...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Cancer Rep (Hoboken)
Prif Awduron: Rahman, Tabassum Yesmin, Mahanta, Lipi B., Choudhury, Hiten, Das, Anup K., Sarma, Jagannath D.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: John Wiley and Sons Inc. 2020
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7941561/
https://ncbi.nlm.nih.gov/pubmed/33026718
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cnr2.1293
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